
AI Today Podcast: Artificial Intelligence Insights, Experts, and Opinion
Applying CPMAI Methodology in the real world: Interview with George Fountain, Booz Allen Hamilton (BAH) [AI Today Podcast]
Apr 17, 2024
George Fountain, AI expert at Booz Allen Hamilton, discusses CPMAI methodology in AI projects. Topics include navigating data challenges, key considerations in project implementation, guidance on AI implementation, and exploring AI's potential in various sectors.
13:04
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Quick takeaways
- Understanding the core problems customers face is crucial before developing AI use cases, prioritizing customer needs over potential applications as per CPMAI methodology.
- AI projects pose challenges like data quality, integration issues, and skills gap, requiring careful management to ensure effective implementation and mitigation of biases in models.
Deep dives
The Importance of Understanding Customer Problems in AI Projects
When embarking on AI projects, it is crucial to prioritize understanding the core problems that customers are facing before delving into the development of fancy use cases. Stakeholders often get caught up in the potential of AI applications without analyzing the actual needs that must be addressed first. By investing significant time upfront in comprehending customer needs, potential low-hanging opportunities that deliver substantial value can be identified and acted upon swiftly, aligning solutions more closely with customers' real requirements as emphasized in the CPMAI methodology.
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